Yuzhen Huang

28 papers A* 4B 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2023 — conf
An Anomaly Detection Model Based on CNN-VAE for IoT Devices.
CSAI
Yichen Liu, Huajian Zhang, Yuzhen Huang, Fangfang Zhu, Yiqing Liang, Daqing Gao
2023 J jnl
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.
Proc. ACM Manag. Data
Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng
2023 — conf
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
MLSys
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023 J jnl
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2022 J jnl
Elastic Deep Learning in Multi-Tenant GPU Clusters.
IEEE Trans. Parallel Distributed Syst.
Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu
2022 J jnl
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.
IEEE Trans. Parallel Distributed Syst.
Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2021 A* conf
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters.
KDD
Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman
2021 A* conf
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism.
KDD
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020 J jnl
Analytic Modeling Optimal Control of Pulsed Power Supply for Accelerator Magnet.
IEEE Trans. Ind. Electron.
Xiaojun Wang, Yuzhen Huang, Wanzeng Shen, Fengjun Wu, Daqing Gao
2020 J jnl
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism.
CoRR
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020 J jnl
Health Informatics of Oxycodone Hydrochloride Sustained-Release Tablets for Cancer Pain Treatment with Support of Computed Tomography Diagnosis.
J. Medical Imaging Health Informatics
Min Guo, Qingyan Liu, Eryong Lai, Yuzhen Huang
2020 J jnl
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism.
CoRR
Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2019 — conf
Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics.
USENIX ATC
Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu
2019 J jnl
Yugong: Geo-Distributed Data and Job Placement at Scale.
Proc. VLDB Endow.
Yuzhen Huang, Yingjie Shi, Zheng Zhong, Yihui Feng, James Cheng, Jiwei Li, Haochuan Fan, Chao Li, Tao Guan, Jingren Zhou
2018 J jnl
FlexPS: Flexible Parallelism Control in Parameter Server Architecture.
Proc. VLDB Endow.
Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng
2018 J jnl
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.
IEEE Trans. Parallel Distributed Syst.
Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang
2017 J jnl
LFTF: A Framework for Efficient Tensor Analytics at Scale.
Proc. VLDB Endow.
Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao
2017 A* conf
LoSHa: A General Framework for Scalable Locality Sensitive Hashing.
SIGIR
Jinfeng Li, James Cheng, Fan Yang, Yuzhen Huang, Yunjian Zhao, Xiao Yan, Ruihao Zhao
2017 — conf
The Best of Both Worlds: Big Data Programming with Both Productivity and Performance.
SIGMOD Conference
Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng
2016 — conf
A comparison of general-purpose distributed systems for data processing.
IEEE BigData
Jinfeng Li, James Cheng, Yunjian Zhao, Fan Yang, Yuzhen Huang, Haipeng Chen, Ruihao Zhao
2016 J jnl
Efficient Algorithms for Temporal Path Computation.
IEEE Trans. Knowl. Data Eng.
Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu
2016 J jnl
Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph.
CoRR
Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2016 J jnl
Efficient Processing of Very Large Graphs in a Small Cluster.
CoRR
Da Yan, Yuzhen Huang, James Cheng, Huanhuan Wu
2016 A* conf
Reachability and time-based path queries in temporal graphs.
ICDE
Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2015 — conf
Core decomposition in large temporal graphs.
IEEE BigData
Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu
2015 J jnl
Outage Performance of MIMO Multihop Relay Network with MRT/RAS Scheme.
IEICE Trans. Inf. Syst.
Xinjie Wang, Yuzhen Huang, Yansheng Li, Zhe-Ming Lu
2014 — conf
Resource Allocation for Energy Saving in Downlink Wireless Communication with Direction-Variable Antennas.
CSE
Han Han, Juan Chen, Junnan Yao, Yuzhen Huang, Ying Li, Jingchao Wang
2000 B conf
Pseudofactors of multivariate polynomials.
ISSAC
Yuzhen Huang, Wenda Wu, Hans J. Stetter, Lihong Zhi